Episode 13: ML 013: Recommender Systems with Frank Kane

<p>In this episode of Adventures in Machine Learning, the amazing author and course creator Frank Kane entertains our panel with information and examples. Beril Sirmacek, Gant Laborde, Daniel Svoboda, &amp; Charles Wood talk with Frank Kane about recommender systems. The discussion elaborates on collaborative and content based recommendation systems, how they all work and how amazing they can be. Frank&rsquo;s variety of experience provides fun stories, exciting examples, and a roadmap for beginners filled the complex domain with friendly stories. This episode is a MUST LISTEN for people interested in getting into Machine Learning or recommender systems.</p> <h3><strong>Sponsors</strong></h3> <ul> <li><a href="https://devchat.tv/learnML">Machine Learning for Software Engineers by Educative.io</a></li> <li><a href="http://www.audibletrack.com/click.track?CID=102175&amp;AFID=475401&amp;ADID=454213&amp;SID=%27%3E">Audible.com</a></li> <li><a href="https://www.cachefly.com/">CacheFly</a></li> </ul> <h3><strong>Panel</strong></h3> <ul> <li>Charles Max Wood</li> <li>Gant Laborde</li> <li>Daniel Svoboda</li> <li>Beril Sirmacek</li> </ul> <h3><strong>Guest</strong></h3> <ul> <li>Frank Kane</li> </ul> <h3><strong>Links</strong></h3> <ul> <li><a href="https://gabriellecrumley.com/">https://gabriellecrumley.com/</a></li> </ul> <h3><strong>Picks</strong></h3> <p><strong>Daniel Svoboda:</strong></p> <ul> <li><a href="https://www.imdb.com/title/tt2575988/">Silicon Valley</a></li> <li><a href="https://machinelearningmastery.com/">machinelearningmastery.com</a></li> </ul> <p><strong>Beril Sirmacek:</strong></p> <ul> <li><a href="https://www.youtube.com/watch?v=vbK82K9_OzA&amp;ab_channel=BerilSirmacek">XAI course 2020 ~ Module2 ~ Introduction to AI &amp; ML</a></li> </ul> <p><strong>Gant Laborde:</strong></p> <ul> <li><a href="https://mlconf.eu/">https://mlconf.eu/</a></li> </ul> <p><strong>Charles Max Wood:</strong></p> <ul> <li>Stroopwafel (dutch food)</li